Scholarlink

The probability that both events H and E occur is called the joint probabilityJoint probability" of H and E, and is denoted by \(P(H \cap E)\) , where \(H \cap E\) denotes both events H and E occur simultaneously (Berger, Statistical decision theory and bayesian analysis, Springer Science AND Business Media, 2013), or by \(P(H,E)\) . Events H and E are considered to be independent if the two events are physically unrelated.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Bayesian Theorem and Expectation–Maximization (EM) Algorithm

  • 章节

  • 发表日期：

    2025年

查看全文
  • Tongyi Zhang

摘要

The probability that both events H and E occur is called the joint probabilityJoint probability" of H and E, and is denoted by \(P(H \cap E)\) , where \(H \cap E\) denotes both events H and E occur simultaneously (Berger, Statistical decision theory and bayesian analysis, Springer Science AND Business Media, 2013), or by \(P(H,E)\) . Events H and E are considered to be independent if the two events are physically unrelated.